Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

2020 ◽  
Vol 178 ◽  
pp. 105476 ◽  
Author(s):  
Mohamed Torky ◽  
Aboul Ella Hassanein
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
The Internet ◽  
The Internet Of Things

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

scholarly journals Digitalization of Technological Processes of Crop Production in Russia

2019 ◽  
Vol 13 (1) ◽  
pp. 14-20 ◽  
Author(s):  
V. M. Korotchenya ◽  
G. I. Lichman ◽  
I. G. Smirnov
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Precision Agriculture ◽  
Crop Production ◽  
Agricultural Sector ◽  
Integral Approach ◽  
The Internet ◽  
Digital Agriculture ◽  
The Internet Of Things ◽  
And Robotics

Currently, the influence of program documents on digital agriculture development is rather great in our country. Within the framework of the European Association of Agricultural Mechanical Engineering, a relevant definition of agriculture 4.0 has been elaborated and introduced.Research purpose: offering general recommendations on the digitalization of agriculture in RussiaMaterials and methods. The authors make use of the normative approach: the core of digital agriculture is compared with the current state of the agricultural sector in Russia.Results and discussion. The analysis has found that digital agriculture (agriculture 4.0 and 5.0) is based on developed mechanized technologies (agriculture 2.0), precision agriculture technologies (agriculture 3.0), the use of such digital technologies and technical means as the Internet of things, artificial intelligence, and robotics. The success of introducing digital agriculture depends on the success of all the three levels of the system. However, the problem of the lack of agricultural machinery indicates insufficient development of mechanized technologies;  poor implementation of precision agriculture technologies means the lack of experience of using these technologies by the majority of farms in our country; an insufficient number of leading Russian IT companies (such as Amazon, Apple, Google, IBM, Intel, Microsoft etc.) weakens the country’s capacity in making a breakthrough in the development of the Internet of things, artificial intelligence, and robotics.Conclusions.The authors have identified the need to form scientific approaches to the digitization of technological operations used in the cultivation of agricultural crops and classified precision agriculture technologies. They have underlined that the digitization of agricultural production in Russia must be carried out along with intensified mechanization (energy saturation); also, to introduce technologies of precision agriculture and digital agriculture, it is necessary to organize state-funded centers for training farmers in the use of these technologies. Finally, it is necessary to take measures to strengthen the development of the IT sphere, as well as formulate an integral approach to the problem of digitalization.

Bibliometric Analysis of the Use of the Internet of Things in Precision Agriculture

2021 ◽  
Author(s):  
Maria de Jesus Diaz Lara ◽  
Jessica Garizurieta Bernabe ◽  
Ruben Alvaro Gonzalez Benitez ◽  
Jazmin Morales Toxqui ◽  
Monica Karel Huerta
Keyword(s):  
Internet Of Things ◽  
Bibliometric Analysis ◽  
Precision Agriculture ◽  
The Internet ◽  
Use Of The Internet ◽  
The Internet Of Things

Development of an application to make knowledge available to the farmer: Detection of the most suitable crops for a more sustainable agriculture

2020 ◽  
Vol 12 (5) ◽  
pp. 419-432
Author(s):  
Jose M. Cadenas ◽  
M. Carmen Garrido ◽  
Raquel Martinez-España
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Fuzzy Model ◽  
The Internet ◽  
Climate Conditions ◽  
Clustering Model ◽  
Study Case ◽  
Using Data ◽  
Crop Sustainability ◽  
The Internet Of Things

Precision agriculture has different strategies to collect, process and analyze different types and nature data to be able to make decisions that improve the efficiency, productivity, quality, profitability and sustainability of agricultural production. Specifically, crop sustainability is directly related to reducing costs for farmers and minimizing environmental impact. In this paper, an application to help in the decision making about the most convenient type of crop to plant in a certain zone is developed, taking into account the climate conditions of that zone, in order to make a sustainable crop. This application is integrated within the Internet of Things system, which can be adapted and parameterized for any kind of crop and zone. The Internet of Things system components are described in detail and a fuzzy clustering model is proposed for the system’s intelligent module. This fuzzy model focuses on making a zone grouping (management zones), taking into account the zone climate conditions. The model manages fuzzy data, which allows us more extensive information and a more natural data treatment. A real study case of the proposed application is presented using data from the Region of Murcia (Spain). In this study case, the entire deployed Internet of Things system has been described, the fuzzy model to group similar areas in terms of meteorology has been validated and evaluated and the recommendation module has been implemented, taking into account the actual production data and the needed resources for the crops in the Region of Murcia (Spain).

An Overview of Internet of Things Technology Applied on Precision Agriculture Concept

2021 ◽  
pp. 47-70
Author(s):  
Reinaldo Padilha França ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur ◽  
Yuzo Iano
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Production Costs ◽  
The Internet ◽  
Intelligent Machines ◽  
Use Of The Internet ◽  
The Right ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
And Training

The internet of things (IoT) is characterized by devices that communicate without human interference, sending and receiving data online, to which they have shaped the way of connecting household appliances, machines, and equipment, cars, among other things, also arriving at the field through characterized by the communication between devices, sensors, drones, and machines. They have great potential to improve production processes, making agriculture increasingly digital, creating solutions, connectivity, and training for specialist labor. As well as irrigation systems and other intelligent machines with the ability to talk to each other enabling management in the use of energy, resources, and inputs making the production process more efficient. Precision agriculture encompasses a series of components and factors from which the best procedures can be chosen that are appropriate in a given agricultural operation that effectively meets your needs, also related to the application of inputs at the right time and in the right place, following the growth and productivity over the entire length of a plantation by controlling pests, among other technologies, providing a reduction in production costs and spending on inputs, reducing the pollution of nature by the pesticides used, making it possible to reduce operating costs, increasing precision in obtaining results in the same way as less variability in production. Therefore, this chapter aims to provide an updated overview and review of the use of the internet of things in the precision agriculture system showing and approaching its success relation, with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.

The Design and Implementation of Crop Growing Environment Monitoring System Based on the Internet of Things

2014 ◽  
Vol 912-914 ◽  
pp. 1440-1443
Author(s):  
Fei Lao ◽  
Guo Xin Li
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Precision Agriculture ◽  
Rapid Development ◽  
The Internet ◽  
Environment Monitoring ◽  
Extensive Management ◽  
Design And Implementation ◽  
Growing Environment ◽  
The Internet Of Things

Because the extensive management of the tradational agriculture hinders the development of the agriculture,we advise the system based on the inteent of things,which design and implent the crop growing enviornment.This article describes the meaning and the functions of the system in details,which also describes the architecture ,hardware components and software design.The design of the system promotes the rapid development of the precision agriculture.

scholarly journals Internet of Things and Machine Learning Applications for Smart Precision Agriculture

2021 ◽  
Author(s):  
R. Sivakumar ◽  
B. Prabadevi ◽  
G. Velvizhi ◽  
S. Muthuraja ◽  
S. Kathiravan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Precision Agriculture ◽  
Ph Value ◽  
Maximum Yield ◽  
The Internet ◽  
Potential Applications ◽  
Machine Learning Applications ◽  
Agricultural Industries ◽  
The Internet Of Things

Agriculture forms the major part of our Indian economy. In the current world, agriculture and irrigation are the essential and foremost sectors. It is a mandatory need to apply information and communication technology in our agricultural industries to aid agriculturalists and farmers to improve vice all stages of crop cultivation and post-harvest. It helps to enhance the country’s G.D.P. Agriculture needs to be assisted by modern automation to produce the maximum yield. The recent development in technology has a significant impact on agriculture. The evolutions of Machine Learning (ML) and the Internet of Things (IoT) have supported researchers to implement this automation in agriculture to support farmers. ML allows farmers to improve yield make use of effective land utilisation, the fruitfulness of the soil, level of water, mineral insufficiencies control pest, trim development and horticulture. Application of remote sensors like temperature, humidity, soil moisture, water level sensors and pH value will provide an idea to on active farming, which will show accuracy as well as practical agriculture to deal with challenges in the field. This advancement could empower agricultural management systems to handle farm data in an orchestrated manner and increase the agribusiness by formulating effective strategies. This paper highlights contribute to an overview of the modern technologies deployed to agriculture and suggests an outline of the current and potential applications, and discusses the challenges and possible solutions and implementations. Besides, it elucidates the problems, specific potential solutions, and future directions for the agriculture sector using Machine Learning and the Internet of things.

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